Update README.md

README.md

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-license: mit
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+---
+license: mit
+language:
+- en
+pipeline_tag: image-to-image
+tags:
+- face restoration
+- diffusion
+---
+
+
+# Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration Visual Style Prompt (VSPBFR)
+
+Official PyTorch implementation of VSPBFR.
+
+[[paper]](https://www.sciencedirect.com/science/article/pii/S003132032401063X?via%3Dihub)
+
+
+<div style="text-align: justify"> Blind face restoration aims to recover high-quality facial images from various unidentified sources of degradation, posing significant challenges due to the minimal information retrievable from the degraded images. 
+Prior knowledge-based methods, leveraging geometric priors and facial features, have led to advancements in face restoration but often fall short of capturing fine details. To address this, we introduce a visual style prompt learning framework that utilizes diffusion probabilistic models to explicitly generate visual prompts within the latent space of pre-trained generative models. These prompts are designed to guide the restoration process.
+To fully utilize the visual prompts and enhance the extraction of informative and rich patterns, we introduce a style-modulated aggregation transformation layer. Extensive experiments and applications demonstrate the superiority of our method in achieving high-quality blind face restoration.</div>
+
+![Performance](./imgs/teaser3.png)
+![Performance](./imgs/teaser4.png)
+
+
+
+---
+license: mit
+---